Massimiliano Pontil

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	All	Since 2016
Citations	23896	10556
h-index	70	48
i10-index	140	111

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TOMASO POGGIOMcDermott Professor in Brain Sciences, MITVerified email at ai.mit.edu
Andreas ArgyriouMicrosoft UKVerified email at alum.mit.edu
Paolo FrasconiProfessor of Computer Science, Università di FirenzeVerified email at dsi.unifi.it
alessandro verriprofessor of computer science, dibris, università degli studi di genovaVerified email at unige.it
Bernardino Romera-ParedesGoogle DeepMindVerified email at google.com
Michele DoniniAmazonVerified email at amazon.com
Mark HerbsterUniversity College LondonVerified email at cs.ucl.ac.uk
Luca FranceschiUniversity College London - Istituto Italiano di TecnologiaVerified email at iit.it
Luca BaldassarreLead Data Scientist, Swiss ReVerified email at swissre.com
Carlo CilibertoUniversity College LondonVerified email at ucl.ac.uk
Andre ElisseeffGoogleVerified email at google.com
Cecilia MascoloUniversity of CambridgeVerified email at cl.cam.ac.uk
arthur grettonGatsby Computational Neuroscience Unit, UCLVerified email at gatsby.ucl.ac.uk
Salvatore ScellatoDeepMind, Google, University of CambridgeVerified email at cl.cam.ac.uk
Anastasios NoulasNew York University, Center for Data Science, Moore-Sloan FellowVerified email at cl.cam.ac.uk
Yiming YingDepartment of Mathematics and Statistics, University at Albany, SUNYVerified email at albany.edu
Bernd HeiseleVerified email at mty.ai
Luca OnetoDIBRIS - University of GenoaVerified email at unige.it
Sayan MukherjeeDuke University, MITVerified email at stat.duke.edu
David JonesProfessor of Bioinformatics, University College LondonVerified email at ucl.ac.uk

Massimiliano Pontil

Istituto Italiano di Tecnologia & University College London

Verified email at iit.it - Homepage

Applied Mathematics Learning Theory Machine Learning Statistics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Regularized multi--task learning T Evgeniou, M Pontil Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004	1525	2004
Regularization networks and support vector machines T Evgeniou, M Pontil, T Poggio Advances in computational mathematics 13 (1), 1, 2000	1467	2000
Convex multi-task feature learning A Argyriou, T Evgeniou, M Pontil Machine learning 73 (3), 243-272, 2008	1462	2008
Multi-task feature learning A Argyriou, T Evgeniou, M Pontil Advances in neural information processing systems 19, 41, 2007	1438	2007
Feature selection for SVMs J Weston, S Mukherjee, O Chapelle, M Pontil, T Poggio, V Vapnik NIPS 12, 668-674, 2000	1363	2000
Support vector machines for 3D object recognition M Pontil, A Verri IEEE transactions on pattern analysis and machine intelligence 20 (6), 637-646, 1998	1120	1998
Learning multiple tasks with kernel methods T Evgeniou, CA Micchelli, M Pontil Journal of machine learning research 6 (Apr), 615-637, 2005	946	2005
PSICOV: precise structural contact prediction using sparse inverse covariance estimation on large multiple sequence alignments DT Jones, DWA Buchan, D Cozzetto, M Pontil Bioinformatics 28 (2), 184-190, 2012	643	2012
A tale of many cities: universal patterns in human urban mobility A Noulas, S Scellato, R Lambiotte, M Pontil, C Mascolo PloS one 7 (5), e37027, 2012	625	2012
An empirical study of geographic user activity patterns in foursquare A Noulas, S Scellato, C Mascolo, M Pontil Proceedings of the International AAAI Conference on Web and Social Media 5 (1), 2011	618	2011
On learning vector-valued functions CA Micchelli, M Pontil Neural computation 17 (1), 177-204, 2005	490	2005
Predicting structured data J Altun, G Bakir, O Bousquet, S Chopra, C Cortes, Daume III, O Dekel, ... MIT press, 2007	466*	2007
Learning the kernel function via regularization CA Micchelli, M Pontil Journal of machine learning research 6 (Jul), 1099-1125, 2005	457	2005
Advances in large margin classifiers AJ Smola, PJ Bartlett, D Schuurmans, B Schölkopf MIT press, 2000	391	2000
Optimal kernel choice for large-scale two-sample tests A Gretton, D Sejdinovic, H Strathmann, S Balakrishnan, M Pontil, ... Advances in neural information processing systems 25, 1205-1213, 2012	326	2012
Oracle inequalities and optimal inference under group sparsity K Lounici, M Pontil, S Van De Geer, AB Tsybakov The annals of statistics 39 (4), 2164-2204, 2011	299	2011
Empirical Bernstein bounds and sample variance penalization A Maurer, M Pontil arXiv preprint arXiv:0907.3740, 2009	299	2009
Component-based face detection B Heiselet, T Serre, M Pontil, T Poggio Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision …, 2001	290	2001
Face detection in still gray images B Heisele, M Pontil MASSACHUSETTS INST OF TECH CAMBRIDGE MA CENTER FOR BIOLOGICAL AND …, 2000	287	2000
Properties of support vector machines M Pontil, A Verri Neural Computation 10 (4), 955-974, 1998	278	1998

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